Using Principal Component Analysis And Choqet Integral To Establish A Diagnostic Model of Parkinson Disease-Reference-Cited by-同舟云学术

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Using Principal Component Analysis And Choqet Integral To Establish A Diagnostic Model of Parkinson Disease

Published:2012 Issue: Volume:24 Page:1573-1581
ISSN:1875-3892
Container-title:Physics Procedia
language:en
Short-container-title:Physics Procedia

Author:

cao Xiuming,Song Jinjie,Zhang Caipo

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

1. Fuzzy Measure Theory;Zhenyuan Wang,1992

2. Yashwant Prasad Singh, “Student modeling using principal component analysis of SOM clusters;Chien-Sing Lee;Advanced Learning Technologies,2004

3. Using Neural Networks to Determine Sugeno Measure by Statistics;Jia Wang;Fuzzy Sets and Systems,1997

4. Determing nonnegative monotone set functions based on Sugeno's integral: an application of genetic algorithms;Zhenyuan Wang;Fuzzy Sets and Systems,2000

5. Advances in fuzzy integration for pattern recognition;James;Fuzzy Sets and Systems,1994

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bias Investigation in Artificial Intelligence Systems for Early Detection of Parkinson’s Disease: A Narrative Review;Diagnostics;2022-01-11

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